IQ:NS for Data & AI Stewards
The challenge
Data and AI stewards manage system metadata, model traceability, data lineage, and quality — the operational facts that make responsible AI possible.
What the ontologies provide
- System catalog structure — consistent vocabulary for purpose, ownership, data sources, risk classification
- Model and data lineage — structured relationships between models, datasets, pipelines, and versions
- Cross-team vocabulary — shared definitions that compliance, security, and engineering all use
- Integration with data catalogs — ontologies connect to Collibra, Alation, and similar tools via standard RDF
How it fits
The ontologies give stewardship a formal structure. Metadata definitions become consistent. Relationships between systems become queryable. Teams work from the same vocabulary.